Classification on ai usage (val)
73.8AUROCHuman-LLM Collaborative Feature Engineering Framework
Evaluation Results
| Method | Links | |
|---|---|---|
| Human-LLM Collaborative Feature Engineering FrameworkDownstream Model=XGBoost, LLM Backbone=GPT-4o, Human Involvement=Active2026.01 | 73.8 | |
| Human-LLM Collaborative Feature Engineering FrameworkDownstream Model=XGBoost, LLM Backbone=GPT-4o, Human Involvement=Absent2026.01 | 73.3 | |
| OCTreeDownstream Model=XGBoost, LLM Backbone=GPT-4o2026.01 | 72.4 | |
| OpenFEDownstream Model=XGBoost2026.01 | 71.8 | |
| AutoGluonDownstream Model=XGBoost2026.01 | 71.5 | |
| CAAFEDownstream Model=XGBoost, LLM Backbone=GPT-4o2026.01 | 71.3 | |
| Human-LLM Collaborative Feature Engineering FrameworkDownstream Model=MLP, LLM Backbone=GPT-4o, Human Involvement=Absent2026.01 | 68.5 | |
| Human-LLM Collaborative Feature Engineering FrameworkDownstream Model=MLP, LLM Backbone=GPT-4o, Human Involvement=Active2026.01 | 68.3 | |
| CAAFEDownstream Model=MLP, LLM Backbone=GPT-4o2026.01 | 68.2 | |
| OCTreeDownstream Model=MLP, LLM Backbone=GPT-4o2026.01 | 68 | |
| OpenFEDownstream Model=MLP2026.01 | 67.8 | |
| AutoGluonDownstream Model=MLP2026.01 | 67.5 |